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Originally published in Science Express on 7 January 2010
Science 12 February 2010:
Vol. 327. no. 5967, pp. 883 - 886
DOI: 10.1126/science.1183863

Reports

A Composite of Multiple Signals Distinguishes Causal Variants in Regions of Positive Selection

Sharon R. Grossman,1,2,*,{dagger} Ilya Shylakhter,1,2,*,{dagger} Elinor K. Karlsson,1,2 Elizabeth H. Byrne,1,2 Shannon Morales,1,2,3 Gabriel Frieden,1 Elizabeth Hostetter,1,2 Elaine Angelino,1,4 Manuel Garber,2 Or Zuk,2 Eric S. Lander,2,4,5 Stephen F. Schaffner,2 Pardis C. Sabeti1,2,4,{dagger}

The human genome contains hundreds of regions whose patterns of genetic variation indicate recent positive natural selection, yet for most the underlying gene and the advantageous mutation remain unknown. We developed a method, composite of multiple signals (CMS), that combines tests for multiple signals of selection and increases resolution by up to 100-fold. By applying CMS to candidate regions from the International Haplotype Map, we localized population-specific selective signals to 55 kilobases (median), identifying known and novel causal variants. CMS can not just identify individual loci but implicates precise variants selected by evolution.

1 Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA.
2 Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
3 Mount Sinai School of Medicine, New York, NY 10029, USA.
4 Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA.
5 Department of Biology, MIT, Cambridge, MA 02139, USA.

* These authors contributed equally to this work.

{dagger} To whom correspondence should be addressed. E-mail: psabeti{at}oeb.harvard.edu (P.C.S.), shari.grossman{at}post.harvard.edu (S.R.G.), ilya_shl{at}alum.mit.edu (I.S.)

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